Abstract

Bipolar disorder (BD) is a complex psychiatric condition with high heritability, the genetic architecture of which likely comprises both common variants of small effect and rare variants of higher penetrance, the latter of which are largely unknown. Extended families with high density of illness provide an opportunity to map novel risk genes or consolidate evidence for existing candidates, by identifying genes carrying pathogenic rare variants. We performed whole-exome sequencing (WES) in 15 BD families (117 subjects, of whom 72 were affected), augmented with copy number variant (CNV) microarray data, to examine contributions of multiple classes of rare genetic variants within a familial context. Linkage analysis and haplotype reconstruction using WES-derived genotypes enabled exclusion of false-positive single-nucleotide variants (SNVs), CNV inheritance estimation, de novo variant identification and candidate gene prioritization. We found that rare predicted pathogenic variants shared among ≥3 affected relatives were overrepresented in postsynaptic density (PSD) genes (P = 0.002), with no enrichment in unaffected relatives. Genome-wide burden of likely gene-disruptive variants was no different in affected vs. unaffected relatives (P = 0.24), but correlated significantly with age of onset (P = 0.017), suggesting that a high disruptive variant burden may expedite symptom onset. The number of de novo variants was no different in affected vs. unaffected offspring (P = 0.89). We observed heterogeneity within and between families, with the most likely genetic model involving alleles of modest effect and reduced penetrance: a possible exception being a truncating X-linked mutation in IRS4 within a family-specific linkage peak. Genetic approaches combining WES, CNV and linkage analyses in extended families are promising strategies for gene discovery.

Highlights

  • Bipolar disorder (BD) is a common, complex psychiatric condition characterized by recurrent fluctuations of mood, often accompanied by psychotic features[1]

  • We used a comprehensive analysis approach, examining a range of rare variant classes for their potential role in familial BD: (i) selecting rare (MAF < 0.01) single-nucleotide variants (SNVs) and likely genedisruptive variants segregating with BD; (ii) identifying de novo variants; and (iii) examining copy number variant (CNV) (MAF < 0.05, within 50 kb from any coding gene) using combined analyses of CNV microarray and whole-exome sequencing (WES)-based loss-ofheterozygosity and read depth data plus familial segregation inference

  • Selection of inherited rare SNVs and enrichment analysis As penetrance of rare alleles and degree of polygenicity is heterogeneous for psychiatric disease, ranging from an oligogenic model comprising a small number of highly penetrant variants to a fully polygenic model comprising a larger number of less penetrant genes, we considered different degrees of rare variant sharing to identify potentially etiologic variants under both models

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Summary

Introduction

Bipolar disorder (BD) is a common, complex psychiatric condition characterized by recurrent fluctuations of mood, often accompanied by psychotic features[1]. Despite twin and family studies providing evidence for high heritability (H2∼80%)[3], the specific genetic factors that increase risk remain largely elusive. Linkage studies of multiplex families failed to identify replicable linkage signals across families, indicating genetic heterogeneity and a complex underlying genetic architecture. Large-scale genome-wide association studies (GWAS) have implicated common variants in CACNA1C, ANK3 and ODZ4 as being significantly associated with BD4–6. The effect sizes of these common disease-associated variants are small, and when the cumulative effect of thousands of common variants are considered under an additive model they explain only one-fourth of the variance in liability[7], suggesting that heritable factors not captured by GWAS may

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